A developer gave Claude Code access to 100 books and a simple command: "find something interesting." What came back wasn't summaries. It was connections no hand-tuned pipeline could find.
When Google locked AlphaFold 3 behind commercial restrictions, three MIT PhD students rebuilt it in four months. Now Boltz has $28M, a Pfizer partnership, and a bet that open-source can capture drug discovery infrastructure.
The man who predicted the 2008 crash sat in a Google Doc with Anthropic's co-founder. Both admitted what they don't know. Burry sees stranded assets and accounting tricks. Clark can't prove his own tools improve productivity.
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Students embrace AI faster than schools can write rules. While 85% use AI for coursework, institutions stall on policy—and tech giants step in with billions in training programs to fill the vacuum. The question: who gets to define learning standards?
First survey of 283 AI benchmarks exposes systematic flaws undermining evaluation: data contamination inflating scores, cultural biases creating unfair assessments, missing process evaluation. The measurement crisis threatens deployment decisions.
Tech giants spent billions upgrading Siri, Alexa, and Google Assistant with AI. Americans still use them for weather checks and timers—exactly like 2018. Fresh YouGov data reveals why the utility gap persists.
A new benchmark testing whether AI models will sacrifice themselves for human safety reveals a troubling pattern: the most advanced systems show the weakest alignment. GPT-5 ranks last while Gemini leads in life-or-death scenarios.
AI researchers cracked how to predict when language models turn harmful. Their 'persona vectors' can spot toxic behavior before it happens and prevent AI personalities from going bad during training.
Developers are embracing AI tools faster than ever (84% adoption) but trust is crashing. Only 33% trust AI accuracy, down from 43%. The culprit? 'Almost right' code that takes longer to debug than writing from scratch.
Young Americans adopt AI at triple the rate of older adults, but most still won't use it for work despite years of tech industry promises. The gap reveals how people create their own rules for AI use, ignoring Silicon Valley's script.
New study tracking 900 users proves Google's AI summaries cut website clicks nearly in half. Only 1% click citation links. Publishers lose traffic while Wikipedia, Reddit, YouTube dominate. The web's economic model may be breaking.
AI systems can read thousands of pages and understand complex relationships, but ask them to write something equally sophisticated back? They choke. New research identifies this "comprehension-generation asymmetry" and introduces Context Engineering as the solution.
Two AI systems just earned gold medals at the world's hardest high school math competition—solving problems that stump 90% of contestants. The twist? The AI you can use today would fail completely. The gap between lab and life has never been wider.
Most parents worry about teens pulling away during adolescence. They don't expect kids forming intimate bonds with AI. 72% of US teens now use AI companions for emotional support, flirting, and serious conversations they'd normally have with humans.
AI companies abandon rivalry to warn: our window to understand AI reasoning is closing. Models currently 'think out loud' for complex tasks, revealing plans to misbehave. But this transparency could vanish as technology advances.
